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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.

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Demystifying Kuma Service Mesh

Dzone - DevOps

Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. While Kubernetes helped resolve deployment challenges, the communication between microservices remained a source of unreliability. It has its roots in the three-tiered model of application architecture.

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Why Use Kong API Gateway

Dzone - DevOps

Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues. Microservice Architecture : Kong is designed to work with microservice architecture, providing a central point of control for API traffic and security.

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Moving to the Cloud: Exploring the API Gateway to Success

Daniel Bryant

Most successful organizations base their goals on improving some or all of the DORA or Accelerate metrics. DORA metrics are used by DevOps teams to measure their performance and find out whether they are “low performers” to “elite performers.” You want to maximize your deployment frequency while minimizing the other metrics.

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Adding Postgres 16 support to Citus 12.1, plus schema-based sharding improvements

The Citus Data

PostgreSQL 16 has introduced a new feature for load balancing multiple servers with libpq, that lets you specify a connection parameter called load_balance_hosts. You can use query-from-any-node to scale query throughput, by load balancing connections across the nodes. Postgres 16 support in Citus 12.1

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Observability versus monitoring in software development

CircleCI

Monitoring is the act of taking the data and metrics that observability makes available and tracking them over time so that anomalies, errors, and downtime are noticeable immediately. By monitoring the metrics of running systems, developers can detect when these systems begin to deviate from normal behavior. What is monitoring?

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Our DevOps Toolbox: The Consul Interview

Exadel

Consul is quite flexible and the monitoring system has numerous metrics. We can even choose metrics for monitoring containers. . The main benefit of Consul, as opposed to microservices architecture, is that microservices architecture is quite complex. This Consul solution capability is named Service Mesh.

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